{"id":"W1931736908","doi":"10.1002/esp.3211","title":"Mean and turbulent flow fields in a simulated ice‐covered channel with a gravel bed: some laboratory observations","year":2012,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Turbulence; Turbulence kinetic energy; Geology; Reynolds stress; Flume; Flow (mathematics); Mechanics; Open-channel flow; Geomorphology; Reynolds number; Meteorology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001897037,0.0001593793,0.0001826034,0.00004001945,0.0001624576,0.00005939651,0.00006257035,0.00008204081,0.00007282817],"category_scores_gemma":[0.00002726146,0.0001023226,0.00001190933,0.0002635197,0.00006700693,0.0007139027,0.00001282073,0.0001602446,0.000006806546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002092393,"about_ca_system_score_gemma":0.00007323829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009193582,"about_ca_topic_score_gemma":0.004163035,"domain_scores_codex":[0.9991176,0.00001640366,0.0001571632,0.0001864552,0.0001592849,0.0003631635],"domain_scores_gemma":[0.9995331,0.0000964282,0.00006003081,0.00008901584,0.00005877964,0.0001626204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009760687,0.00003784118,0.9794214,0.0002102779,0.00002396409,0.000007409742,0.004434813,0.01492578,0.000002465625,0.00004104009,0.0000122832,0.0007851562],"study_design_scores_gemma":[0.001193576,0.0002573295,0.8883079,0.0001326524,0.00003213985,0.00003119016,0.002158609,0.1058189,0.00004505426,0.0005140532,0.00110412,0.0004044525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972422,0.001818605,0.0001547079,0.0003926852,0.00004983335,0.0001694566,0.0000736412,0.00002816224,0.00007069931],"genre_scores_gemma":[0.9977216,0.0006749525,0.0008903953,0.0004430332,0.00004944851,9.048661e-7,0.000098667,0.000005478102,0.0001155275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09111345,"threshold_uncertainty_score":0.4172594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265307672837308,"score_gpt":0.1963539799343811,"score_spread":0.183700903206008,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}